MEP 3.0 Of MapR Ecosystem Pack Provide Security For Apache Spark

Every Apache Spark development company has a reason to rejoice as MAPR Technologies has released the version 3.0 of MapR Ecosystem Pack (MEP) that is targeted towards providing improved security for Apache Spark, new Apache Spark connectors for MapR-DB and HBase, integrations with Drill, and faster version of Hive.

The following provides an overview of the latest MEP 3.0 updates for the projects running on MapR:

This version of Hive has faster speed, as there are a lot of performance-centric improvements in data processing and querying.

Apache Spark 2.1.0

This has significant improvements related to enterprise level stability and security, which make the applications enterprise-ready.

Native Spark Connector for MapR-DB JSON

This provides tight integration through MapR-DB records in real-time, leading to improved efficiency of database transactions in the application.

MapR Streams

This package provides new APIs for C and Python.

MapR Installer

This installer has features to simplify upgrades and add-ons to the existing MEP version.

How will these features benefit developers?

MapR Technologies claims that its MEP ecosystem pack works on the pain points of the complexity arising due to the coordination issues in community projects and versions. It basically works on development, testing and integrating issues in open source projects like Apache Drill, Apache Spark, Hive, Myriad, etc.

Apart from the latest version (3.0), new versions of MEP are released on a quarterly basis. This helps the developers to work on the latest features of all the community-driven softwares like Apache Spark, Apache Drill, and others.

MEP handles version compatibility problems for the developers. Hence, instead of working on/upgrading separate installations of the open source softwares (instead of using their bundled versions in MEP), installing the latest MEP guarantees inter-project compatibility between the earlier and newer versions of softwares in MEP. This gives the developers in the Apache Spark development company enough bandwidth to work on the actual business logic in the project code rather than spending time troubleshooting compatibility issues with other software/project.

Upgrading MEP version does not make changes to the existing core MapR platform installation. Hence, it is easier to install the quarterly updates that only upgrade the open source project stacks.